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Lead scoring tells you who to call first.

One number that ranks the whole pipeline.

Lead scoring collapses ICP fit, signal recency and touch history into a single number, so your day starts with the account most likely to convert rather than whichever name is at the top of the list.

recruiter-lexikon / lead-scoring
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Lead scoring
Lead scoring
Defined
Definition

A numeric ranking that tells you which accounts to prioritise, combining ICP fit, signal recency, touch history and response likelihood.

At a glance
Term Lead scoring
Used for Prioritising accounts
In boilr Tasks ordered by score
b
boilr turns this term into a task
Defined here · operationalised by your AI employee

Lead scoring, explained for the desk.

What it is, why it matters, and how your AI employee runs it.

What it is

Lead scoring is a numeric ranking that tells you which accounts to work first. A score combines several inputs: how well the company matches your ICP, how recently a buying signal fired, how many times you have already touched the account and how likely a response is given everything known about it.

The point of a score is to replace gut feeling with a consistent order. Instead of "which of these forty companies feels most promising", you get a ranked list where the top of the list is, by definition, the best use of the next hour.

Without scoring, attention gets spent on whatever is most visible, which is rarely whatever is most likely to close.

Why it matters

A consultant's scarcest resource is attention. Without scoring, attention gets spread evenly or spent on whatever is most visible, which is rarely whatever is most likely to close. Scoring concentrates effort where it pays, which is usually the difference between a busy desk and a billing desk.

Scoring also makes a pipeline legible to other people. A manager can see why an account is ranked where it is. A new starter can work the right accounts on day one. The judgement is encoded in the score rather than trapped in one person's head.

How boilr handles it

boilr scores every account continuously. It already knows the ICP fit, it detects the signals, it tracks your touch history, so it can keep the score current without you maintaining a spreadsheet. Your task inbox is ordered by that score, which means the first task you see in the morning is the one most worth doing.

Because the scoring logic lives in the Company Brain, it is consistent across the whole desk and improves as outcomes feed back in. The accounts that convert teach the score what good looks like, so prioritisation gets sharper the longer the employee works.

Questions, answered.

Everything a working consultant asks about lead scoring, and how boilr puts it to work.

What goes into a lead score?

Typically four things: how closely the company matches your ICP, how recently a buying signal fired, how many times you have already touched the account and the estimated likelihood of a response. boilr maintains all four automatically, so the score reflects current reality rather than a static import.

Is lead scoring the same as lead grading?

They are closely related. Grading usually sorts leads into bands such as A, B and C, while scoring assigns a continuous number. A continuous score gives you a precise order to work in, which is why boilr ranks your task inbox by score rather than by band.

How is a lead score kept up to date?

Manually maintained scores go stale within days. boilr recalculates continuously: when a new signal fires the score rises, when an account goes cold it falls, and when you log a touch the model adjusts. You never have to refresh anything by hand.

Does a high score guarantee a placement?

No. A score estimates likelihood, not certainty. Its job is to put the most promising account at the top of your list so your time goes where it is most likely to pay. The conversation and the judgement are still yours.

How does boilr use the score day to day?

Your task inbox is ordered by score. The highest-scoring account with a live signal is the first task you see, so you work the pipeline in the right order without deciding the order yourself. As outcomes feed back, the scoring sharpens for the whole desk.

Helen Wright
Boilr gave us the BD structure and follow-up support to sign our first client and secure a job brief in under a month.
Helen Wright
Managing Director, 923 Jobs

Work the right account first, every morning.

boilr scores every account continuously and orders your tasks so the best opportunity is always on top. One AI sales employee per consultant, prioritising for you.